An Introduction to Dynamic Meteorology: Volume 88

James R. Holton

ISBN 10: 0123848660 / ISBN 13: 9780123848666

Editore: Elsevier Science Publishing Co Inc, 2012

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This item is printed on demand. New copy - Usually dispatched within 5-9 working days 863. Codice articolo C9780123848666

Dati bibliografici

Titolo: An Introduction to Dynamic Meteorology: ...

Casa editrice: Elsevier Science Publishing Co Inc

Data di pubblicazione: 2012

Legatura: Hardback

Condizione: New

Edizione: quinta edizione o successive

Descrizione articolo

Riassunto:

During the past decade, the science of dynamic meteorology has continued its rapid advance. The scope of dynamic meteorology has broadened considerably. Much of the material is based on a two-term course for seniors majoring in atmospheric sciences.

This book presents a cogent explanation of the fundamentals of meteorology and explains storm dynamics for weather-oriented meteorologists. It discusses climate dynamics and the implications posed for global change. The new edition has added a companion website with MATLAB exercises and updated treatments of several key topics.

• Provides clear physical explanations of key dynamical principles
• Contains a wealth of illustrations to elucidate text and equations, plus end-of-chapter problems
• Holton is one of the leading authorities in contemporary meteorology, and well known for his clear writing style
• Instructor's Manual available to adopters

NEW IN THIS EDITION

• A companion website with MATLAB® exercises and demonstrations
• Updated treatments on climate dynamics, tropical meteorology, middle atmosphere dynamics, and numerical prediction

Informazioni sugli autori:

James R. Holton was Professor of Atmospheric Sciences at the University of Washington until his death in 2004. A member of the National Academies of Science, during his career he was awarded every major honor available in the atmospheric sciences including AGU’s Revelle Medal.

Gregory J. Hakim is Professor and Chair of the Department of Atmospheric Sciences in the College of the Environment at the University of Washington. His research focuses on problems in climate reconstruction, predictability, data assimilation, atmospheric dynamics, and synoptic meteorology. He teaches courses in weather, atmospheric sciences, atmospheric structure and analysis, atmospheric motions, synoptic meteorology, balance dynamics, and weather predictability and data assimilation.